| // |
| // Copyright © 2017 Arm Ltd. All rights reserved. |
| // SPDX-License-Identifier: MIT |
| // |
| |
| #include "ClLayerSupport.hpp" |
| #include "ClBackendId.hpp" |
| |
| #include <armnn/Descriptors.hpp> |
| #include <InternalTypes.hpp> |
| #include <LayerSupportCommon.hpp> |
| |
| #include <backendsCommon/BackendRegistry.hpp> |
| |
| #include <boost/core/ignore_unused.hpp> |
| |
| #if defined(ARMCOMPUTECL_ENABLED) |
| #include <aclCommon/ArmComputeUtils.hpp> |
| #include "workloads/ClAdditionWorkload.hpp" |
| #include "workloads/ClActivationWorkload.hpp" |
| #include "workloads/ClBatchNormalizationFloatWorkload.hpp" |
| #include "workloads/ClBatchToSpaceNdWorkload.hpp" |
| #include "workloads/ClConvertFp16ToFp32Workload.hpp" |
| #include "workloads/ClConvertFp32ToFp16Workload.hpp" |
| #include "workloads/ClConvolution2dWorkload.hpp" |
| #include "workloads/ClDequantizeWorkload.hpp" |
| #include "workloads/ClDepthwiseConvolutionWorkload.hpp" |
| #include "workloads/ClDivisionFloatWorkload.hpp" |
| #include "workloads/ClFullyConnectedWorkload.hpp" |
| #include "workloads/ClGreaterWorkload.hpp" |
| #include "workloads/ClL2NormalizationFloatWorkload.hpp" |
| #include "workloads/ClLstmFloatWorkload.hpp" |
| #include "workloads/ClMaximumWorkload.hpp" |
| #include "workloads/ClMeanWorkload.hpp" |
| #include "workloads/ClConcatWorkload.hpp" |
| #include "workloads/ClMinimumWorkload.hpp" |
| #include "workloads/ClMultiplicationWorkload.hpp" |
| #include "workloads/ClNormalizationFloatWorkload.hpp" |
| #include "workloads/ClPadWorkload.hpp" |
| #include "workloads/ClPermuteWorkload.hpp" |
| #include "workloads/ClPooling2dWorkload.hpp" |
| #include "workloads/ClPreluWorkload.hpp" |
| #include "workloads/ClQuantizeWorkload.hpp" |
| #include "workloads/ClSoftmaxBaseWorkload.hpp" |
| #include "workloads/ClSpaceToBatchNdWorkload.hpp" |
| #include "workloads/ClSpaceToDepthWorkload.hpp" |
| #include "workloads/ClSplitterWorkload.hpp" |
| #include "workloads/ClStridedSliceWorkload.hpp" |
| #include "workloads/ClSubtractionWorkload.hpp" |
| #include "workloads/ClTransposeConvolution2dWorkload.hpp" |
| #endif |
| |
| using namespace boost; |
| |
| namespace armnn |
| { |
| |
| namespace |
| { |
| |
| template<unsigned int FilterSize> |
| bool IsMatchingSize2d(const TensorInfo& weightInfo) |
| { |
| // Width & Height must match. |
| return (weightInfo.GetShape()[3] == FilterSize) && (weightInfo.GetShape()[2] == FilterSize); |
| } |
| |
| template<uint32_t ValidStride> |
| bool IsMatchingStride(uint32_t actualStride) |
| { |
| return ValidStride == actualStride; |
| } |
| |
| template<uint32_t FirstStride, uint32_t SecondStride, uint32_t... ValidStrides> |
| bool IsMatchingStride(uint32_t actualStride) |
| { |
| return IsMatchingStride<FirstStride>(actualStride) || IsMatchingStride<SecondStride, ValidStrides...>(actualStride); |
| } |
| |
| bool IsClBackendSupported(Optional<std::string&> reasonIfUnsupported) |
| { |
| #if defined(ARMCOMPUTECL_ENABLED) |
| return true; |
| #else |
| if (reasonIfUnsupported) |
| { |
| reasonIfUnsupported.value() = "The armnn library has been built without CL support"; |
| } |
| return false; |
| #endif |
| } |
| |
| #if defined(ARMCOMPUTECL_ENABLED) |
| #define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) (expr) |
| #else |
| #define FORWARD_CL_LAYER_SUPPORT_FUNC(expr) IsClBackendSupported(reasonIfUnsupported) |
| #endif |
| |
| #if defined(ARMCOMPUTECL_ENABLED) |
| template<class FuncType, class... Args> |
| inline bool IsWorkloadSupported(FuncType&& func, Optional<std::string&> reasonIfUnsupported, Args&&... args) |
| { |
| arm_compute::Status aclStatus = func(std::forward<Args>(args)...); |
| const bool supported = (aclStatus.error_code() == arm_compute::ErrorCode::OK); |
| if (!supported && reasonIfUnsupported) |
| { |
| reasonIfUnsupported.value() = aclStatus.error_description(); |
| } |
| return supported; |
| } |
| |
| #define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \ |
| return IsWorkloadSupported(func, reasonIfUnsupported, __VA_ARGS__); |
| #else |
| #define FORWARD_WORKLOAD_VALIDATE_FUNC(func, reasonIfUnsupported, ...) \ |
| return IsClBackendSupported(reasonIfUnsupported); |
| #endif |
| |
| template<typename FloatFunc, typename Uint8Func, typename ... Params> |
| bool IsSupportedForDataTypeCl(Optional<std::string&> reasonIfUnsupported, |
| DataType dataType, |
| FloatFunc floatFuncPtr, |
| Uint8Func uint8FuncPtr, |
| Params&&... params) |
| { |
| return IsClBackendSupported(reasonIfUnsupported) && |
| IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| dataType, |
| floatFuncPtr, |
| floatFuncPtr, |
| uint8FuncPtr, |
| &FalseFunc<>, |
| &FalseFunc<>, |
| std::forward<Params>(params)...); |
| } |
| |
| } // anonymous namespace |
| |
| bool ClLayerSupport::IsActivationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const ActivationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClActivationWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsAdditionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClAdditionValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsBatchNormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& mean, |
| const TensorInfo& var, |
| const TensorInfo& beta, |
| const TensorInfo& gamma, |
| const BatchNormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClBatchNormalizationValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| mean, |
| var, |
| beta, |
| gamma, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsBatchToSpaceNdSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const BatchToSpaceNdDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClBatchToSpaceNdWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsConcatSupported(const std::vector<const TensorInfo*> inputs, |
| const TensorInfo& output, |
| const ConcatDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| if (descriptor.GetNumDimensions() <= descriptor.GetConcatAxis()) |
| { |
| SetValueChecked(reasonIfUnsupported, "Cl Concat: Concat axis > Number of dimensions."); |
| return false; |
| } |
| |
| unsigned int concatInnerAxis = (descriptor.GetNumDimensions() - descriptor.GetConcatAxis()) - 1; |
| if(concatInnerAxis < 3) // Width, height, or channels |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConcatWorkloadValidate, |
| reasonIfUnsupported, |
| inputs, |
| output, |
| descriptor); |
| } |
| else if (concatInnerAxis == 3) |
| { |
| // We rely on the sub-tensor optimization to handle the batch dimension for 4D tensors. If we can't use |
| // sub-tensors for this then we can't support it. Here is where we check that the sub-tensors will work. |
| for (auto& input : inputs) |
| { |
| if (input && !output.IsTypeSpaceMatch(*input)) // Cannot use sub-tensors if the types are not same space |
| { |
| SetValueChecked(reasonIfUnsupported, "Cl Concat: Types and quantization parameters must match."); |
| return false; |
| } |
| } |
| return true; // Sub-tensors support concat along batch |
| } |
| else // > 4 dimensions not supported. |
| { |
| SetValueChecked(reasonIfUnsupported, "Cl Concat: Maximum of 4 dimensions supported."); |
| return false; |
| } |
| } |
| |
| bool ClLayerSupport::IsConstantSupported(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| output.GetDataType(), |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool ClLayerSupport::IsConvertFp16ToFp32Supported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConvertFp16ToFp32WorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output); |
| } |
| |
| bool ClLayerSupport::IsConvertFp32ToFp16Supported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConvertFp32ToFp16WorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output); |
| } |
| |
| bool ClLayerSupport::IsConvolution2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const Convolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClConvolution2dWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor, |
| weights, |
| biases); |
| } |
| |
| bool ClLayerSupport::IsDequantizeSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClDequantizeWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output); |
| } |
| |
| bool ClLayerSupport::IsDepthwiseConvolutionSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClDepthwiseConvolutionWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor, |
| weights, |
| biases); |
| } |
| |
| bool ClLayerSupport::IsDilatedDepthwiseConvolutionSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const DepthwiseConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClDepthwiseConvolutionWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor, |
| weights, |
| biases); |
| } |
| |
| |
| bool ClLayerSupport::IsDivisionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClDivisionWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsFloorSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(output); |
| return IsClBackendSupported(reasonIfUnsupported) && |
| IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| input.GetDataType(), |
| &FalseFuncF16<>, |
| &TrueFunc<>, |
| &FalseFuncU8<>, |
| &FalseFuncI32<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool ClLayerSupport::IsFullyConnectedSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const TensorInfo& weights, |
| const TensorInfo& biases, |
| const FullyConnectedDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClFullyConnectedWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| weights, |
| biases, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsGreaterSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClGreaterWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsInputSupported(const TensorInfo& input, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &TrueFunc<>); |
| } |
| |
| bool ClLayerSupport::IsL2NormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const L2NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClL2NormalizationWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsLstmSupported(const TensorInfo& input, |
| const TensorInfo& outputStateIn, |
| const TensorInfo& cellStateIn, |
| const TensorInfo& scratchBuffer, |
| const TensorInfo& outputStateOut, |
| const TensorInfo& cellStateOut, |
| const TensorInfo& output, |
| const LstmDescriptor& descriptor, |
| const LstmInputParamsInfo& paramsInfo, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClLstmFloatWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| outputStateIn, |
| cellStateIn, |
| scratchBuffer, |
| outputStateOut, |
| cellStateOut, |
| output, |
| descriptor, |
| paramsInfo); |
| } |
| |
| bool ClLayerSupport::IsMaximumSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClMaximumWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsMeanSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const MeanDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClMeanValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsMemCopySupported(const TensorInfo &input, |
| const TensorInfo &output, |
| Optional<std::string &> reasonIfUnsupported) const |
| { |
| ignore_unused(input); |
| ignore_unused(output); |
| return true; |
| } |
| |
| bool ClLayerSupport::IsMergerSupported(const std::vector<const TensorInfo*> inputs, |
| const TensorInfo& output, |
| const MergerDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return IsConcatSupported(inputs, output, descriptor, reasonIfUnsupported); |
| } |
| |
| bool ClLayerSupport::IsMinimumSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClMinimumWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsMultiplicationSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClMultiplicationWorkloadValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsNormalizationSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const NormalizationDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClNormalizationWorkloadValidate, reasonIfUnsupported, input, output, descriptor); |
| } |
| |
| bool ClLayerSupport::IsOutputSupported(const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| return IsClBackendSupported(reasonIfUnsupported) && |
| IsSupportedForDataTypeGeneric(reasonIfUnsupported, |
| output.GetDataType(), |
| &TrueFunc<>, |
| &TrueFunc<>, |
| &TrueFunc<>, |
| &FalseFuncI32<>, |
| &TrueFunc<>); |
| } |
| |
| bool ClLayerSupport::IsPadSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const PadDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClPadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsPermuteSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const PermuteDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(input); |
| ignore_unused(output); |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClPermuteWorkloadValidate, reasonIfUnsupported, descriptor); |
| } |
| |
| bool ClLayerSupport::IsPooling2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const Pooling2dDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClPooling2dWorkloadValidate, reasonIfUnsupported, input, output, descriptor); |
| } |
| |
| bool ClLayerSupport::IsPreluSupported(const armnn::TensorInfo &input, |
| const armnn::TensorInfo &alpha, |
| const armnn::TensorInfo &output, |
| armnn::Optional<std::string &> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClPreluWorkloadValidate, reasonIfUnsupported, input, alpha, output); |
| } |
| |
| bool ClLayerSupport::IsQuantizeSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClQuantizeWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output); |
| } |
| |
| bool ClLayerSupport::IsReshapeSupported(const TensorInfo& input, |
| const ReshapeDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(input); |
| ignore_unused(descriptor); |
| ignore_unused(reasonIfUnsupported); |
| return true; |
| } |
| |
| bool ClLayerSupport::IsResizeSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const ResizeDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(output); |
| |
| if (descriptor.m_Method == ResizeMethod::Bilinear) |
| { |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| return false; |
| } |
| |
| bool ClLayerSupport::IsResizeBilinearSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(output); |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &FalseFuncU8<>); |
| } |
| |
| bool ClLayerSupport::IsSoftmaxSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const SoftmaxDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(descriptor); |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClSoftmaxWorkloadValidate, reasonIfUnsupported, input, output); |
| } |
| |
| bool ClLayerSupport::IsSpaceToBatchNdSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const SpaceToBatchNdDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClSpaceToBatchNdWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsSpaceToDepthSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const SpaceToDepthDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClSpaceToDepthWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsSplitterSupported(const TensorInfo& input, |
| const ViewsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| ignore_unused(descriptor); |
| return IsSupportedForDataTypeCl(reasonIfUnsupported, |
| input.GetDataType(), |
| &TrueFunc<>, |
| &TrueFunc<>); |
| } |
| |
| bool ClLayerSupport::IsSplitterSupported(const TensorInfo& input, |
| const std::vector<std::reference_wrapper<TensorInfo>>& outputs, |
| const ViewsDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| #if defined(ARMCOMPUTECL_ENABLED) |
| // Split along the last dimension, cannot use sub-tensors |
| // as width and height of the sub-tensors do not match |
| // the width and height of the parent tensor |
| // in case of input with more than 2D. |
| std::set<unsigned int> splitAxis = ComputeSplitAxis(descriptor, input.GetShape()); |
| if (descriptor.GetNumDimensions() > 2 && splitAxis.size() == 1 && |
| *splitAxis.begin() == descriptor.GetNumDimensions() - 1 ) |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClSplitterWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| outputs, |
| *splitAxis.begin()); |
| } |
| #endif |
| for (auto output : outputs) |
| { |
| if (!input.IsTypeSpaceMatch(output)) // Cannot use sub-tensors if the types are not same space |
| { |
| SetValueChecked(reasonIfUnsupported, "Cl Splitter: Types and quantization parameters must match."); |
| return false; |
| } |
| } |
| return true; |
| } |
| |
| bool ClLayerSupport::IsStridedSliceSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const StridedSliceDescriptor& descriptor, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClStridedSliceWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor); |
| } |
| |
| bool ClLayerSupport::IsSubtractionSupported(const TensorInfo& input0, |
| const TensorInfo& input1, |
| const TensorInfo& output, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClSubtractionValidate, |
| reasonIfUnsupported, |
| input0, |
| input1, |
| output); |
| } |
| |
| bool ClLayerSupport::IsTransposeConvolution2dSupported(const TensorInfo& input, |
| const TensorInfo& output, |
| const TransposeConvolution2dDescriptor& descriptor, |
| const TensorInfo& weights, |
| const Optional<TensorInfo>& biases, |
| Optional<std::string&> reasonIfUnsupported) const |
| { |
| FORWARD_WORKLOAD_VALIDATE_FUNC(ClTransposeConvolution2dWorkloadValidate, |
| reasonIfUnsupported, |
| input, |
| output, |
| descriptor, |
| weights, |
| biases); |
| } |
| |
| } // namespace armnn |
